We're partnering with one of the most exciting InsurTech scale-ups in the market - a company transforming how brokers and insurers exchange risk, already processing over $150m in premium and targeting $1B by 2027. They're looking for a Senior Data Engineer (3-5 years' experience) to help scale their modern data platform as they continue rapid growth.
What you'll do:
Build and maintain scalable, automated, reliable data pipelines across a modern cloud stack
Extend and improve a cutting-edge Data & Analytics Platform supporting mission-critical insurance products
Implement data quality checks, observability metrics and troubleshooting processes
Manage cloud resources via Infrastructure-as-Code
Ensure strong data security, access control, and governance
Work closely with commercial, analytics and engineering teams to deliver high-quality data products
What you'll bring:
3-5 years' experience as a Data Engineer
Strong SQL and Python skills
Proven experience building modern ETL/ELT pipelines (dbt experience ideal)
Experience with data orchestration tools (Prefect preferred)
Understanding of data modelling, especially event-driven architectures
Knowledge of modern data engineering development practices
Nice to have:
Background in InsurTech/FinTech or regulated industries
Experience with Docker, containerisation, and IaC tools
Exposure to cloud-native data environments
Why join?
Work at the forefront of a market undergoing a "Big Bang" digital transformation
Join a smart, curious, collaborative team backed by deep insurance and technology expertise
Build systems that will scale to handle millions of dollars of real-world insurance risk
Huge growth opportunity as the company scales rapidly
